grain-simulate: Simulate from Bayesian network
In gRain: Bayesian Networks

grain-simulate

R Documentation

Simulate from Bayesian network

Description

Simulate data from an independence network.

Usage

## S3 method for class 'grain'
simulate(object, nsim = 1, seed = NULL, ...)

Arguments

`object`	An independence network.
`nsim`	Number of cases to simulate.
`seed`	An optional integer controlling the random number generation.
`...`	Not used.

Value

A data frame

Author(s)

Søren Højsgaard, sorenh@math.aau.dk

References

Søren Højsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. https://www.jstatsoft.org/v46/i10/.

Examples


tf <- system.file("huginex", "chest_clinic.net", package = "gRain")

chest <- loadHuginNet(tf, details=1)
simulate(chest,n=10) 

chest2 <- setFinding(chest, c("VisitToAsia", "Dyspnoea"),
                            c("yes", "yes"))
simulate(chest2, n=10)

gRain documentation built on Oct. 18, 2024, 1:07 a.m.